Lightspeed is a global, multi-stage, venture capital firm managing over $40B in assets. Since its founding in 2000, Lightspeed has been the first investor and an early backer of some of the most innovative companies in the world including Abridge, Anthropic, Castelion, Glean, Mistral, Navan, Netskope, Rubrik, Snap, Wiz, and more. Learn more at lsvp.com.


The content herein does not constitute an offer to sell or a solicitation of an offer to buy any securities or investment advisory services. 

Certain information contained herein is based on information from various sources prepared by third parties. While such sources are believed by Lightspeed to be reliable, neither Lightspeed nor its affiliates assume any responsibility for the accuracy or completeness of such information, and such information has not been independently verified by Lightspeed. Unless otherwise indicated, the inclusion of any third-party firm and/or company names, brands and/or logos are for representational purposes and does not imply any affiliation with these firms or companies and also does not imply their endorsement to the views expressed by the authors. For additional disclosures, please see https://lsvp.com/legal/

Industry: Venture Capital and Private Equity Principals
Company Size: 51-200 employees

Lightspeed

Savvy Admin PROD

**About Faire**

Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.

We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

**About This Role**

We are looking for a data-driven email expert to join Faire's Growth Marketing team. As a Senior Lifecycle Marketing Manager, you'll be responsible for ideating, executing, and optimizing scaled lifecycle journeys to drive engagement and conversion. You'll collaborate closely with cross-functional partners across Design, Analytics, and Product to turn customer data into effective and dynamic email campaigns at scale. The ideal candidate has worked in an experimentation-driven environment, has a track record of using AI tools to automate team workflows, accelerate creative testing, and launch new channel experiments with minimal engineering or analytics support, and stays ahead of the curve with the latest digital marketing trends.

**What You’ll Do**

- Own the end-to-end lifecycle strategy for a defined area of the retailer journey, translating business goals into audience plans, messaging frameworks, and test-and-learn experiments.

- Develop and launch automated email, push, SMS, and in-app workflows based on retailer behavior, lifecycle stage, and intent signals.

- Work cross functionally alongside Product, Data, and Design to ensure CRM marketing strategies align with broader business objectives.

- Partner with Analytics to understand campaign performance and generate data-based hypothesis to inform new experimentation opportunities.

- Analyze campaign trends, develop actionable insights, and socialize relevant learnings across the organization.

- Partner with the Growth Platform team to integrate models, dynamic content, and AI decisioning into lifecycle journeys, moving the team away from one-size-fits-all toward retailer-specific experiences.

- Oversee the technical execution of campaign deployment, and be a thought leader for leveraging new marketing technologies, platforms, and channels.

**Qualifications**

- 4+ years hands-on experience managing lifecycle campaigns optimized for down-funnel metrics (conversion, revenue, retention)

- Analytical with structured problem-solving. Comfortable drawing conclusions from large data sets and translating them into clear recommendations

- Strong A/B testing knowledge: hypothesis design, audience segmentation, holdout structure, and result interpretation

- Hands-on experience with CRM/marketing automation platforms (Braze, Iterable, Mailchimp, Salesforce Marketing Cloud, or similar)

- Strong cross-functional collaboration skills, especially with Product, Analytics, Engineering, and Design

- Demonstrated track record of using AI tools to automate workflows, accelerate creative testing, and launch new channel experiments with minimal eng or analytics support

- Strong organization skills, attention to detail, and a passion for optimizing processes =

- Excellent written and oral communication. Can explain complex CRM strategy and measurement concepts to non-technical stakeholders

- Bias for action and comfort operating in ambiguity, with the agility to balance multiple priorities

- Experience across both B2C and B2B email marketing strategies is a strong plusExperience across a two-sided marketplace or e-commerce is a strong plus

- Experience with personalization models or dynamic content at scale is a plus

- Experience with Excel & SQL is a plus

**Salary Range**

San Francisco, CA; New York City, NY: the pay range for this role is $148,000 to $203,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

~~Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.~~

**Why you’ll love working at Faire**

- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.

- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.

- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.

- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.

- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.

Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

**Privacy**

For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)

Lifecycle Marketing Lead

We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale.

Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.

Industry: Research Services
Company Size: 51-200 employees

Anthropic

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems.

This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.

We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.

**Responsibilities**

**No ML or Research experience is required**

- Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results

- Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions

- Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient

- Create reusable platforms and tools that accelerate the development of new research applications

- Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage

- Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration

- Contribute to technical strategy and architectural decisions for research tooling

- Mentor other engineers and help establish best practices for research application development

**You may be a good fit if you**

- Have 5+ years of software engineering experience with a strong focus on full-stack development

- Excel at rapid iteration and shipping—you can move from concept to working prototype quickly

- Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)

- Demonstrate high agency and ability to operate independently in ambiguous environments

- Can quickly develop deep understanding of complex technical domains

- Have strong product instincts and can identify the right problems to solve

- Are proficient with modern web technologies (React, TypeScript, Python, etc.)

- Have a track record of building user-facing applications that are actually used and loved by their target audience

- Communicate effectively with both technical and non-technical stakeholders

- Care about the societal impacts of your work and are motivated by Anthropic's mission

**Strong candidates may also have**

- Experience building research tools, scientific software, or experimentation platforms

- Background in machine learning, AI research, or working closely with ML researchers

- Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools

- Built open-source tools or platforms with active user communities

- Experience with data visualization, interactive interfaces, or novel interaction paradigms

- Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products)

- Experience leveraging AI/LLMs to build more powerful or efficient tools

- Previous work in creative tools, artist tools, or other domains requiring deep user empathy

- Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment

**Representative projects**

- Building interfaces for collecting and managing human feedback on model outputs at scale

- Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs

- Developing visualization tools that help researchers understand model behavior and identify failure modes

- Designing reusable components and frameworks that enable rapid development of new research applications

- Building sandboxed execution environments for safely running AI-generated code

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$300,000—$405,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Senior+ Software Engineer, Research Tools

Resilient, modular, reconfigurable, no-integration-code automated material flow and storage system enabled by robotics and AI

Industry: Automation Machinery Manufacturing
Company Size: 11-50 employees

Mytra

**About Mytra**

We’re creating an entirely new way to solve the most ubiquitous problem in industry - moving and storing material. We’re applying robotics and distributed software to create a new class of product for this $1T market. We’re focused on the supply chain industry first. The industry is in a massive bind with the continued growth of e-commerce, sharp rise in costs, and supply chain disruptions. What has been a “sleepy” industry for decades is now at the epicenter of sustaining the global economy.

**About The Role**

Mytra's Systems Engineering team is seeking a Robotics Systems Engineer to architect, debug, and operationally support our autonomous robotic systems across both product and infrastructure domains. As a Systems Integration Engineer, you'll be the technical authority for complex system-level challenges, providing expert debugging and operational support for our mobile autonomous systems. You'll work at the intersection of hardware and software, ensuring robust performance of robotic systems in demanding warehouse environments, while supporting scalable infrastructure for fleet operations.

**Responsibilities**

- Lead critical system debugging as the technical authority, conducting root-cause analysis of complex failures involving physical mechanisms, embedded devices, UNIX OSes, and radio networking

- Own fix implementations and new feature rollouts, providing technical leadership from discovery through implementation

- Design observability and support features to improve the health monitoring, diagnostics, and remote intervention capabilities of the deployed fleet

- Drive improvement in Mytra’s issue capture, analytics, and reporting pipeline, to maintain a deep understanding of how issues impact and inform engineering priority

- Ensure the operational health of early-stage prototype fleets, working side-by-side with test engineers and software developers to keep test platforms operating and engineering progress unblocked

**Qualifications**

- 5+ years of hands-on experience as a systems engineer, mechatronics engineer, field engineer, or similar role, including direct experience in the development and deployment of mobile autonomous systems

- Strong understanding of core robotics engineering concepts including BLDC motor control, sensing technology, embedded communication protocols, and state-space control

- Basic experience with Python, for scripting, data analysis, and software debugging

- Capability to perform highly hands-on electro-mechanical prototyping, harness assembly, and mechanical inspections

- Bachelor's degree in Systems Engineering, Computer Science, Robotics, Mechatronics, related field, or equivalent work experience

**Preferred Qualifications**

- You have expert-level debugging experience, with a passion for systematically diagnosing complex system failures across hardware-software interfaces

- You can lead cross-functional technical initiatives, translating complex systems challenges into actionable engineering tasks, while mentoring junior engineers on system-level thinking

- You're excited about solving novel challenges in warehouse automation, building systems that operate reliably in unstructured environments with minimal human intervention

- Uncertainty isn't scary, and you're willing to realize mistakes and pivot

- You value openness, inquisitiveness, and constant ambition

**A Final Note**

You’re encouraged to apply even if you can’t take on every example project in its totality. We work closely and collaboratively at Mytra - No one takes on projects alone. We seek people who are eager to work together, learn new things, and bring unique perspectives.

**Benefits Include**

- Competitive compensation and equity grants at a high-growth company backed by top-tier VCs

- Fully subsidized health coverage, including medical (baseline plans), dental, and vision for employees and dependents

- 401(k) plans and employer-subsidized life insurance

- Fully subsidized lunch and snacks at HQ—we eat and share stories together at the “long” table

- Generous PTO and company-paid holidays, including one week over the winter break so everyone can recharge together

- Voluntary pet insurance, Voluntary Life Insurance, Accident, Critical Illness, and Hospital Indemnity

- Fully subsidized tax advisory services and education to help you understand your equity

- Commuter benefits, including a up to $150 monthly commuter benefit

- Lively, modern combined office and lab space where we rapidly iterate through design, build, and test phases

- Fully equipped onsite gym and showers at headquarters

**Pay Notice**

- Compensation for this position will be negotiated based on the candidate's experience level and location. The posted salary band is applicable only to the San Francisco Bay Area and is subject to change.

**The Pay Range For This Role Is**

150,000 - 170,000 USD per year(Mytra, Inc.)

Senior Systems Integration Engineer

Bringing the computer to life

Industry: Computers and Electronics Manufacturing
Company Size: 51-200 employees

Sesame

**About Sesame**

Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.

**About The Role**

This role is responsible for leading the sourcing strategy and supplier management for product packaging, softgoods, and accessories used across our hardware products. The position partners closely with industrial design, mechanical engineering, operations, and program management teams to ensure these components align with product design intent, user experience, cost targets, and manufacturing requirements. This individual will drive supplier selection, commercial negotiations, and long-term sourcing strategies to support new product introduction (NPI) and sustaining production, ensuring high-quality components and reliable supply.

**Responsibilities**

- Develop and execute sourcing strategies for product packaging, softgoods, and accessories supporting both NPI builds and production ramp.

- Identify, qualify, and manage global suppliers with the technical capability and manufacturing capacity to support packaging, softgoods, and accessories.

- Partner with Industrial and Product Design Engineering teams to ensure materials, finishes, and construction methods align with product design intent, user experience, and manufacturability.

- Lead commercial negotiations and contract development, including pricing agreements, tooling investments, and long-term supply agreements.

- Support new product introduction (NPI) by ensuring supplier readiness, component availability, and risk mitigation across EVT, DVT, and PVT through mass production.

- Drive cost optimization initiatives through value engineering, material selection improvements, and supplier benchmarking.

- Manage supplier performance across cost, quality, delivery, and responsiveness to ensure consistent execution.

- Collaborate with operations and contract manufacturers to ensure packaging and components integrate smoothly into factory builds and assembly processes.

- Identify potential supply risks and develop mitigation strategies to ensure continuity of supply.

- Provide market intelligence and supplier insights related to materials, manufacturing processes, and supplier capabilities for packaging, softgoods, and accessories.

**Required Qualifications**

- 8+ years of experience in supply chain, sourcing, or commodity management within eyewear, hardware, or other consumer products.

- Experience managing suppliers for packaging, softgoods, and accessories used in eyewear or consumer products.

- Strong understanding of consumer product packaging, including retail packaging and protective packaging solutions.

- Experience sourcing softgoods materials and components, such as fabrics, leathers, foams, or flexible materials used in consumer products.

- Experience partnering with Industrial Design and Mechanical Engineering teams during product development.

- Experience supporting new product introduction (NPI) and managing supplier readiness across EVT, DVT, PVT builds through production.

- Demonstrated ability to lead supplier negotiations and manage commercial agreements, including tooling and supply contracts.

- Experience managing supplier performance across cost, quality, delivery, and capacity.

- Experience working with global suppliers and contract manufacturers supporting consumer hardware production.

- Strong cross-functional collaboration and communication skills.

**Preferred Qualifications**

- Experience in the eyewear industry.

Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities. Contact careers@sesame.com for assistance.

**Full-time Employee Benefits**

- 401 (k) max employer match: 3.5% of compensation

- 100% employer-paid health, vision, and dental benefits for you and your dependents

- Unlimited PTO and sick time

- Flexible spending account with employer matching up to $1,650/year (medical FSA)

- Guardian Employee Assistance Program (EAP)

- Opportunity to share in the company's success with competitive stock options

Benefits do not apply to contingent/contract workers.

Compensation Range: $193K - $275K

Global Supply Chain Manager, Soft Goods and Accessories

At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com.

PwC: Audit and assurance, consulting and tax services
PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.

Industry: Professional Services
Company Size: 10,001+ employees

**Specialty/Competency: **Data, Analytics & AI

**Industry/Sector: **Not Applicable

**Time Type: **Full time

**Travel Requirements: **Up to 60%

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

**Skills**

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Respond effectively to the diverse perspectives, needs, and feelings of others.

Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.

Use critical thinking to break down complex concepts.

Understand the broader objectives of your project or role and how your work fits into the overall strategy.

Develop a deeper understanding of the business context and how it is changing.

Use reflection to develop self awareness, enhance strengths and address development areas.

Interpret data to inform insights and recommendations.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

As part of the Data and Analytics Engineering team you design and implement thorough data architecture strategies. As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards. You focus on building client relationships and developing a deeper understanding of the business context, navigating increasingly complex situations, and growing your personal brand and technical knowledge.

**Responsibilities**

-  Designing and implementing thorough data architecture strategies

-  Analyzing complex issues to create innovative solutions

-  Mentoring and guiding junior team members

-  Upholding standards in project deliverables

-  Building and maintaining client relationships

-  Developing a thorough understanding of the business environment

-  Managing and navigating complex scenarios effectively

-  Enhancing personal brand and technical skills

What You Must Have

-  Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics

-  2 years of experience

What Sets You Apart

-  Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus

-  Designing and implementing thorough data architecture strategies

-  Developing and documenting data models, data flow diagrams, and data architecture guidelines

-  Maintaining data architecture compliance with data governance and data security policies

-  Collaborating with business stakeholders to understand their data requirements

-  Building, maintaining, and enhancing ETL/ELT pipelines for data ingestion, processing, and storage

-  Developing and deploying scalable data storage solutions using AWS, Azure and GCP services

-  Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow

-  Enhancing Cloud resources for cost, performance, and scalability

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

Data Engineer - Senior Associate

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

As part of our growing Data Science and Analytics team, you will play a key role in Anthropic's mission of building safe and beneficial AI by driving data-informed decision-making across the organization. You'll be embedded with teams supporting our Developer Platform — the infrastructure that enables developers and enterprise customers to build on Claude via our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities.

In this role, you'll partner closely with product, engineering, and go-to-market teams to understand how AI agents are being built and deployed at scale. You'll identify growth opportunities, surface insights about platform adoption, and drive data-informed decisions that shape our platform roadmap. You'll also help establish the analytical foundations and best practices of a data science team that is still defining itself — bringing rigor and clarity to a fast-moving environment.

Key responsibilities

- Define key metrics, build measurement frameworks, and maintain core reporting to evaluate platform success

- Conduct deep dives into product and usage data to surface actionable insights, size opportunities, and influence roadmaps across product, engineering, and go-to-market teams

- Develop hypotheses and apply rigorous causal inference methods — including controlled experiments and synthetic controls — to evaluate platform changes and make actionable recommendations

- Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions

- Build statistical models, optimization frameworks, and simulations to support and automate operational and decision-making processes

- Present complex analyses and recommendations clearly to both technical and non-technical stakeholders

- Help establish foundational data practices and scale analytics infrastructure to support rapid iteration as the platform grows

**Minimum Qualifications**

- Proficiency in Python, SQL, and data visualization tools

- Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high-scale technical environments

- Experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy

- Effective written communication and presentation skills, with the ability to translate complex analyses into clear, actionable recommendations for both technical and business audiences

**Preferred Qualifications**

- 6+ years of experience in data science or analytics roles

- Experience supporting B2B sales teams with data insights

- Strong instincts for what drives product adoption, engagement, and retention in developer or enterprise contexts

- Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem

- Comfort operating in ambiguous, fast-moving environments where creating clarity is part of the role

- A genuine interest in Anthropic's mission of building safe and beneficial AI

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$275,000—$370,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Data Scientist, Platform Product

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

We are seeking an experienced Machine Learning Systems Engineer to join our Encodings and Tokenization team at Anthropic. This cross-functional role will be instrumental in developing and optimizing the encodings and tokenization systems used throughout our Finetuning workflows. As a bridge between our Pretraining and Finetuning teams, you'll build critical infrastructure that directly impacts how our models learn from and interpret data. Your work will be foundational to Anthropic's research progress, enabling more efficient and effective training of our AI systems while ensuring they remain reliable, interpretable, and steerable.

**Responsibilities**

- Design, develop, and maintain tokenization systems used across Pretraining and Finetuning workflows

- Optimize encoding techniques to improve model training efficiency and performance

- Collaborate closely with research teams to understand their evolving needs around data representation

- Build infrastructure that enables researchers to experiment with novel tokenization approaches

- Implement systems for monitoring and debugging tokenization-related issues in the model training pipeline

- Create robust testing frameworks to validate tokenization systems across diverse languages and data types

- Identify and address bottlenecks in data processing pipelines related to tokenization

- Document systems thoroughly and communicate technical decisions clearly to stakeholders across teams

**You May Be a Good Fit If You**

- Have significant software engineering experience with demonstrated machine learning expertise

- Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments

- Can work independently while maintaining strong collaboration with cross-functional teams

- Are results-oriented, with a bias towards flexibility and impact

- Have experience with machine learning systems, data pipelines, or ML infrastructure

- Are proficient in Python and familiar with modern ML development practices

- Have strong analytical skills and can evaluate the impact of engineering changes on research outcomes

- Pick up slack, even if it goes outside your job description

- Enjoy pair programming (we love to pair!)

- Care about the societal impacts of your work and are committed to developing AI responsibly

**Strong Candidates May Also Have Experience With**

- Working with machine learning data processing pipelines

- Building or optimizing data encodings for ML applications

- Implementing or working with BPE, WordPiece, or other tokenization algorithms

- Performance optimization of ML data processing systems

- Multi-language tokenization challenges and solutions

- Research environments where engineering directly enables scientific progress

- Distributed systems and parallel computing for ML workflows

- Large language models or other transformer-based architectures (not required)

**Deadline to apply: ** None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$320,000—$405,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Machine Learning Systems Engineer, Research Tools

Kani Solutions is an Information Technology company specializing in web & mobile applications development and IT consulting & ITES. Our client-base is broad, ranging from small businesses to Fortune 500 companies and stretching across numerous Vertical Markets. Among these markets include Biotechnology, Construction, Financial, Government, Healthcare/Medical Institutions, Education, Insurance, Legal, Manufacturing, Marketing/Media, Pharmaceutical, Retail, Telecom, Technology and Utilities.

Kani Solutions headquartered in Princeton,New Jersey, USA, and has branch offices in Hyderabad, Noida, India. Our success is simply the result of hard work.

Kani Solutions senior management team has almost 2 decades of experience in IT consulting, product development & ITES. As a result, relationships have been fostered and strengthened over the years.

Industry: IT Services and IT Consulting
Company Size: 201-500 employees

Kani Solutions Inc

**Job Title: ** Sales Professional (Health and Benefits)

**Location: ** San Francisco, CA / Washington, DC / New Yor City, NY (Hybrid)

**Hire Type: ** Permanent Hire

**Job Description: **

We are seeking a talented Sales Professional to join our Health and Benefits Sales team. This role can be based in either San Francisco, Irvine, Los Angeles or Las Vegas. This is a hybrid role that has a requirement of working at least three days a week in the office.

As a Health & Benefits Sales Professional you will leverage client’s expertise to develop innovative sales strategies that address critical challenges in employee benefits, healthcare, financial security, and career development for employers and their employees.

**Responsibilities: **

- Executes sales goals by maintaining a large book of business of complex or high-yield accounts by conducting frequent sales presentations, calls and meetings

- Applies highly developed market and internal service offering insights to sales cold calls to engage potential clients, generate interest and schedule meetings or presentations

- Creates sales proposals, presentations and RFP responses which creatively and effectively address complex prospect needs and appropriately communicate the business value of internal services and offerings

- Leads complex account processes from the identification stage to closing; leading pricing negotiations, facilitating product and expectation discussions and ultimately securing a beneficial financial outcome for the business

- Manages research efforts and analyses on relevant markets and industries to identify potential relationship needs, target new accounts and ultimately target areas of expansion for existing accounts or the book of business at large

- Interfaces frequently with the potential or existing account representatives and stakeholders to ensure service satisfaction and uphold promises and general expectations

- Maintains professional account relationships with new or established account representatives to introduce and sell new products to and facilitate deeper market penetration and representation and encourage and explore cross op co sales opportunities

- Be a member of various professional and industry or regional organizations and attends conferences and relevant events to expand and maintain a large professional network, represent the company and gain exposure and insight as to various specialties.

**Required Skills: **

- BA/BS degree

- Strong track record of achieving sales goals

- Experience selling to companies in the 1000 – 5000 employee benefit space

- Experiential knowledge of the Employee Benefits or Health and Benefits consulting industry and products

- Strong network and ability to gain access to C-suite level executives.

**What Makes You Stand Out: **

- Life and Health License.

Sales Professional (Health and Benefits)

**About Anthropic**

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

**About The Role**

When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?"

The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We’re looking for researchers and engineers to join our efforts.

People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using “microscopes” we build, or as treating neural networks as binary computer programs we're trying to "reverse engineer".

A few places to learn more about our work and team at a high level are this introduction to Interpretability from our research lead, Chris Olah; a discussion of our work on the Hard Fork podcast produced by the New York Times, and this blog post (and accompanying video) sharing more about some of the engineering challenges we’d had to solve to get these results. Some of our team's notable publications include A Mathematical Framework for Transformer Circuits, In-context Learning and Induction Heads, Toy Models of Superposition, Scaling Monosemanticity, and our Circuits’ Methods and Biology papers. This work builds on ideas from members' work prior to Anthropic such as the original circuits thread, Multimodal Neurons, Activation Atlases, and Building Blocks.

We aim to create a solid foundation for mechanistically understanding neural networks and making them safe (see our vision post). In the short term, we have focused on resolving the issue of "superposition" (see Toy Models of Superposition, Superposition, Memorization, and Double Descent, and our May 2023 update), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent work found millions of features in Sonnet, one of our production language models, represents progress in this direction. In our most recent work, we develop methods that allow us to build circuits using features and use this circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks.

We often collaborate with teams across Anthropic, such as Alignment Science and Societal Impacts to use our work to make Anthropic’s models safer. We also have an Interpretability Architectures project that involves collaborating with Pretraining.

**Responsibilities**

- Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights

- Design and run robust experiments, both quickly in toy scenarios and at scale in large models

- Create and analyze new interpretability features and circuits to better understand how models work.

- Build infrastructure for running experiments and visualizing results

- Work with colleagues to communicate results internally and publicly

**You May Be a Good Fit If You**

- Have a strong track record of scientific research (in any field), and have done some work on Interpretability

- Enjoy team science – working collaboratively to make big discoveries

- Are comfortable with messy experimental science. We're inventing the field as we work, and the first textbook is years away

- You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results

- You can clearly articulate and discuss the motivations behind your work, and teach us about what you've learned. You like writing up and communicating your results, even when they're null

To learn more about the skills we look for and how to prepare for this role, see our blog post – So You Want to Work in Mechanistic Interpretability?

Familiarity with Python is required for this role.

**Role Specific Location Policy:**

- This role is based in San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

**Annual Salary**

$350,000—$850,000 USD

**Logistics**

**Minimum education: **Bachelor’s degree or an equivalent combination of education, training, and/or experience

**Required field of study: **A field relevant to the role as demonstrated through coursework, training, or professional experience

**Minimum years of experience: **Years of experience required will correlate with the internal job level requirements for the position

**Location-based hybrid policy: ** Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

**Visa sponsorship: ** We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

**We encourage you to apply even if you do not believe you meet every single qualification. ** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

**Your safety matters to us. ** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

**How We're Different**

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

**Come work with us!**

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. **Guidance on Candidates' AI Usage: ** Learn about our policy for using AI in our application process.

Research Scientist, Interpretability

Crusoe is the industry’s first vertically integrated, purpose-built AI cloud platform. The company is redefining AI cloud infrastructure and its platform is recognized as the "gold standard" among builders for its reliability and performance in developing, training, and deploying AI models. Powered by clean, renewable energy, Crusoe aligns the future of computing with the future of the climate. Leading Fortune 500 companies trust Crusoe’s advanced, AI-optimized cloud to support their most demanding AI applications.

Industry: IT Services and IT Consulting
Company Size: 501-1,000 employees

Crusoe

Crusoe is on a mission ~~to accelerate the abundance of energy and intelligence ~~. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

**About This Role:**

Crusoe is seeking a dedicated and strategic **New Product Introduction (NPI) Category Manager ** to support and optimize New Product Introductions for Crusoe Cloud compute initiatives. This role is critical for driving speed and efficiency, new standards, and high quality of deployments, directly contributing to the overall success of Crusoe's Cloud expansion. We are looking for a strong operator and strategic thinker who can be the single threaded leader for NPI Sourcing, bringing a strong background in global sourcing, project management, supplier relationship management, and process improvement to the team. This is a full-time position with flexibility to be based in **San Francisco (CA), Sunnyvale (CA), Seattle (WA), or Denver (CO).**

**What You'll Be Working On**

- Strategic Sourcing: Develop and implement global sourcing strategies that are innovative, cost-effective, and consistently aligned with company objectives.

- End-to-End NPI Process Management: Manage the entire NPI process, overseeing everything from project kickoff, sampling, design, and release

- Supplier Relationship Management: Evaluate and actively manage relationships with key suppliers, ensuring they consistently meet our stringent quality standards and critical delivery deadlines.

- Risk Management & Contingency: Conduct comprehensive risk management for all supply contracts and agreements, including proactive contingency planning to ensure business continuity.

- Cross-Functional Coordination: Lead cross-functional teams and coordinate activities with internal and external stakeholders to accurately plan for new products

- Sustainability Integration: Implement and champion sustainability practices in procurement and sourcing operations, ensuring alignment with Crusoe’s environmental goals.

- Industry Trend Monitoring: Stay current with industry trends, market conditions, and NPI innovations to maintain Crusoe’s competitive edge.

**What You’ll Bring To The Team**

- Education: Bachelor's degree in Business Administration, Supply Chain/Logistics, International Trade, or a related field.

- Experience & Leadership: Approximately 5-7 years of experience in supply chain, sourcing, or procurement, preferably for Data Center Infrastructure, Cloud, or Hardware supply chains.

- Operational Track Record: Proven track record of successfully managing NPI deployments, complex supply chains, ensuring vendor compliance, and implementing process improvements.

- Core Skills: Strong communication and stakeholder management skills

- Analytical Prowess: Excellent analytical, problem-solving, and organizational abilities.

- Strategic Supply Management: Proven experience working with global manufacturers and owning process qualification, documentation, and all supplier ramp approvals

- Supply Chain Experience: Background working with hyperscalers, OEM/ODMs, or infrastructure providers

- Compliance: Must be able to pass a background check.

**Bonus Points**

- Experience managing Data Center infrastructure categories either in the greyspace or whitespace

- Professional certification such as CPSM, CSCP, or CPIM.

- Experience with AI/data center infrastructure supply chains.

**Benefits:**

- Competitive compensation

- Restricted Stock Units

- Paid time off & paid holidays

- Comprehensive health, dental & vision insurance

- Employer contributions to HSA account

- Paid parental leave

- Paid life insurance, short-term and long-term disability

- Professional development & tuition reimbursement

- Mental health & wellness support

- Commuter benefits (parking & transit)

- Cell phone stipend

- 401(k) Retirement plan with company match up to 4% of salary

- Volunteer time off

**Compensation Range**

Compensation will be paid in the range of up to $151,000 -$184,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Category Manager, New Product Introduction

Mercury is the fintech ambitious companies use for banking* and all their financial workflows. With a powerful bank account at the center of their operations, companies can make better financial decisions and ensure that every dollar spent aligns with company priorities. That's why over 200K startups choose Mercury to confidently run all their financial operations with the precision, control, and focus they need to operate at their best. To learn more, visit Mercury.com.

*Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group and Evolve Bank & Trust, Members FDIC.

Industry: Financial Services
Company Size: 501-1,000 employees

Mercury

Mercury is building a complete finance stack for startups. We work hard to create the easiest and safest banking* experience possible to simplify entrepreneurs' and business owners’ financial lives. To accomplish this mission, not only do we have to build/maintain a magical banking platform but must also develop and uphold the trust and safety of our customers and the financial industry. To contribute to this effort, we’re looking to hire a Senior Internal Auditor to support the efforts of our Internal Audit function at Mercury in the execution of our audit plan. You’ll help drive audits internally within Mercury as well as support audits being conducted externally by partners and third parties. Over time, you will become a subject matter expert on Mercury’s finance and accounting processes.

~~Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.~~

As part of the journey, we would expect you to:

- Assist in identifying, analyzing, and assessing risk throughout Mercury

- Scope and plan audits across finance and accounting functions.

- Conduct process walkthroughs and execute audit testing to confirm the design and operational effectiveness of internal controls

- Assess compliance with Mercury’s compliance obligations (regulatory reporting, financial reporting)

- Socialize, document, and report audit issues identified

- Collaborate with teams to develop appropriate action plans, track audit issue remediation, and conduct issue follow up testing

- Other duties as assigned

Some things that might make you successful in a role like this:

- Have experience scoping and planning new, complex audits

- Have experience leading audit teams and coaching team members

- Be comfortable conducting walkthroughs, creating audit test plans, and executing internal controls testing

- Have experience in leading finance and accounting audits

- Knowledge and experience auditing SOX, GAAP, IFRS and other regulatory reporting requirements.

- Have experience working with financial services companies, and have a working knowledge of laws, regulations and risk management standards for financial services

- Have the ability to quickly grasp and understand complex business processes

- Be able to build relationships/partnerships and work cross-functionally to drive time-sensitive deliverables, issues tracking, and reporting

- Have excellent written and verbal communication skills

- Be able to manage their own schedule to ensure deadlines are met

- Be a self-starter, someone who likes to innovate and think about how we can do things differently to be more efficient and effective

- Obtained related certifications (CISA, CIA, CPA, etc)

The total rewards package at Mercury includes base salary, equity (stock options), and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

- US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $132,400 - $165,500

- US employees outside of the New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $119,200 - $149,000

- Canadian employees (any location): CAD $125,100 - $156,400

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

Senior Internal Auditor - Finance

Pulley is an all-in-one permitting platform that enables you to identify permit requirements with 98% accuracy and ensures you never have to go through more rounds of comments than you need. Retailers, developers, contractors, and architects use Pulley to keep track of projects, share permit status with stakeholders, collaborate with other team members, and view the latest feedback from the city - all in one place.

Industry: Software Development
Company Size: 11-50 employees

Pulley

**About Pulley**

Pulley helps the country’s top architects, builders, and retailers speed up every project in their portfolio. With AI-powered permitting intelligence and expert guidance, we eliminate costly delays and bring predictability across the full lifecycle of commercial projects.

Today, permitting is the slowest, most uncertain part of building, spread across 19,000+ jurisdictions with different rules, timelines, and surprises. Pulley gives project teams the clarity and predictability they need to move from planning to opening without delays.

We support rollout programs for brands like J.Crew, Solidcore, and Hibbett Sports, as well as major data center buildouts, EV charging networks, and other commercial projects. Our platform dramatically reduces approval timelines, improves forecasting accuracy, and removes thousands of hours of manual work from design and construction teams.

Founded in 2021, Pulley combines deep permitting expertise with purpose-built AI from people who have created products used by millions. We’re backed by CRV, Susa Ventures, Fifth Wall, and leaders from Plaid, Segment, ServiceTitan, and Procore.

**What You’ll Do**

As Pulley’s first Product Manager, you’ll report directly to Pulley’s co-founder and work closely with the engineering team to help define and execute on our product roadmap.

- Accelerate the launch of Pulley’s newest AI product offerings and operate as the main product owner between engineering, design, and the rest of the business.

- Partner closely with design and engineering to ensure alignment across product, technical requirements, and customer needs.

- Help set the tone for how product is built at Pulley by creating the processes, rituals, and communication styles that will define our future.

- Stay ahead of the curve in construction tech, AI, and automation to continuously identify areas where we can improve the permitting process.

**Need to Have**

- Bachelors degree or equivalent in Computer Science, Engineering, Math, or in a related field.

- 5+ years of product management experience in a B2B or enterprise SaaS environment.

- At least 1 year of experience working as a software engineer, or in a technically adjacent role. You understand technical concepts (eg APIs, data models, architecture, etc) and can work closely with engineers to make informed decisions about trade-offs and feasibility.

- Prior startup experience, or experience in a high-growth company environment.

- Eager to work hybrid in person in our Downtown SF office (the team comes in 4x/week)

**Nice to Have**

- Experience in construction tech, gov-tech, or workflow automation products

- Experience applying AI/LLM workflows to real-world operations or decisioning problems

**Compensation**

$180,000 - $230,000 base + Equity

Founding Product Manager

Founded in 2007 by two machine learning scientists, The Voleon Group is a quantitative hedge fund headquartered in Berkeley, CA. We are committed to solving large-scale financial prediction problems with statistical machine learning.   

The Voleon Group combines an academic research culture with an emphasis on scalable architectures to deliver technology at the forefront of investment management. Many of our employees hold doctorates in statistics, computer science, and mathematics, among other quantitative disciplines.   

Voleon's CEO holds a Ph.D. in Computer Science from Stanford and previously founded and led a successful technology startup. Our Chief Investment Officer and Head of Research is Statistics faculty at UC Berkeley, where he earned his Ph.D.  Voleon prides itself on cultivating an office environment that fosters creativity, collaboration, and open thinking. We are committed to excellence in all aspects of our research and operations, while maintaining a culture of intellectual curiosity and flexibility.  

The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Industry: Investment Management
Company Size: 201-500 employees

The Voleon Group

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.

Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.

In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.

As a GRC Manager, you will own and operationalize governance, risk, and compliance within the Information Security organization, reporting directly to the CISO. This is a security GRC role — distinct from the firm's trade compliance function — focused on building an information security risk management program from the ground up. You will transform an existing risk assessment framework and methodology into a living program with a formal risk register, policy lifecycle, control inventory, and security compliance posture. This role sits at the intersection of security engineering, operational risk, legal, and investor relations — requiring both the technical depth to engage credibly with a strong InfoSec engineering team and the communication skills to translate complex security posture into business language for leadership, auditors, and investors.

This is not a checkbox compliance role. You will need genuine security expertise to write accurate policies grounded in how systems actually work, conduct meaningful risk assessments, and partner with security engineers on control design and gap remediation. You will serve as the primary interface between InfoSec (first line) and the firm's Operational Risk, Internal Audit, Legal, and Compliance functions (second/third line) — owning the three-lines-of-defense relationship on behalf of the CISO organization.

**Responsibilities**

- Own and operationalize the information security risk management program — complete the risk register, drive quarterly (at minimum) risk assessment processes, maintain and evolve the existing risk assessment methodology

- Own the security policy lifecycle: creation, review, updates, and enforcement across the organization

- Serve as the primary interface between InfoSec (first line) and Operational Risk, Internal Audit, Legal, and Compliance (second/third line)

- Own the monthly cybersecurity check-in with Operational Risk — review open items, emerging risks, KRI status, incident escalation reporting

- Build and maintain a comprehensive control inventory mapped to risk scenarios; track control effectiveness and identify gaps

- Organize and streamline the vendor risk / DDQ process; formalize vendor risk tiering and review cadence

- Create and maintain security program materials for investor due diligence — translate technical security capabilities into business and risk language

- Support audit processes — own the preparation and maintenance of audit materials

- Navigate cyber insurance policy evaluation and procurement if required

- Drive convergence toward compliance standards (SOC 2, ISO 27001, or equivalent) based on firm needs and investor expectations

- Partner on data privacy requirements as they intersect with information security — including GDPR and cross-border data handling considerations as the firm's regulatory footprint evolves

- Provide governance perspective on business continuity and disaster recovery as it relates to information security — assess gaps, push for maturity, and ensure BC/DR considerations are integrated into the risk program

- Document security processes, procedures, and operational workflows — build the institutional knowledge base

- Evaluate and potentially implement automated compliance tooling to reduce manual evidence collection burden

- Connect risk reduction to investment decisions — help the CISO articulate security program ROI to leadership through BLP planning and PKR alignment

**Requirements**

- 7+ years of experience in information security with meaningful GRC depth — not pure audit/compliance without security engineering exposure

- Demonstrated ability to write security policies grounded in technical reality — you understand how systems, identity, networks, and applications work, not just what controls should exist on paper

- Experience building or significantly maturing a risk management program: risk registers, risk assessments, control mapping, remediation tracking

- Familiarity with risk assessment methodologies (bow-tie, FAIR, NIST RMF, or equivalent)

- Experience interfacing with operational risk, internal audit, legal, and compliance functions — comfortable navigating multi-stakeholder governance relationships

- Strong understanding of security controls across infrastructure, identity, endpoint, cloud, and application layers

- Experience creating investor-facing or board-level security materials — ability to translate technical posture into business risk language

- Excellent written and verbal communication — policies, risk narratives, and executive summaries are primary deliverables

- Experience with vendor risk management and third-party due diligence questionnaires

- Awareness of data privacy regulations (GDPR, CCPA) and how they intersect with information security controls and policy

- Self-directed and autonomous — this is a solo function initially; you will define scope, prioritize, and execute without a team

**Preferred Qualifications**

- Experience with compliance frameworks (SOC 2, ISO 27001, NIST CSF, CIS Controls) and the practical work of achieving or maintaining compliance

- Experience with cyber insurance — policy evaluation, application processes, underwriter interactions

- Background in financial services, hedge funds, or regulated environments with investor due diligence requirements

- Familiarity with automated compliance platforms

- Experience with business continuity and disaster recovery program governance

- Experience with operational risk reporting and KRI/KPI frameworks

- Certifications such as CISSP, CISM, CRISC, or GRCP

- Experience working in a quasi-academic, engineering-heavy culture where credibility is earned through demonstrated expertise, not authority

**“Friends of Voleon” Candidate Referral Program**

If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.

**Equal Opportunity Employer**

The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Compensation Range: $235K - $315K

GRC Manager

Planet is the leading provider of global, daily satellite imagery and insights. Planet is driven by a mission to image all of Earth’s landmass every day, and make global change visible, accessible, and actionable. Founded in 2010 by three NASA scientists, Planet designs, builds, and operates the largest fleet of imaging satellites, as well as online software, tools and analytics needed to deliver data to users. Decision makers in business, government, and within organizations use Planet's data and machine learning-powered analytics to develop new technologies, drive revenue, power research, and make informed, timely decisions to solve our world's toughest challenges. 

Visit us at https://www.planet.com/

Follow us: @planet on Twitter | planetlabs on Facebook

Industry: Software Development
Company Size: 501-1,000 employees

Planet

**Welcome to Planet. We believe in using space to help life on Earth.**

Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.

Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.

As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.

We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.

Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.

**About The Role**

We are seeking a thoughtful, proactive, and detail-oriented Executive Operations Partner to support 3 senior leaders across the organization. This individual will serve as a critical enabler—ensuring that our executives are supported, informed, and positioned to focus on the most strategic priorities.

This role requires someone who thrives in a dynamic corporate environment, can anticipate needs before they’re expressed, and communicates with precision and professionalism. The ideal candidate operates with discretion, grace under pressure, and a natural ability to build trust and influence across teams.

This is a full-time, hybrid role which will require you to work from our San Francisco office 3 days per week.

**Impact You’ll Own**

- Executive Enablement: Support 3 senior executives cross-functionally, managing calendars, priorities, and workflows to ensure focus on strategic initiatives and company goals.

- Calendar & Prioritization: Coordinate complex and dynamic schedules across time zones, managing requests with a deep understanding of business priorities.

- Travel & Logistics: Manage domestic and international travel arrangements, including flights, hotels, ground transportation, visas, and itineraries

- Operational Excellence: Partner with other Executive Operations Partners to drive consistency, streamline processes, and optimize executive operations across Planet.

- Anticipation & Initiative: Proactively identify needs, remove barriers, and resolve issues before they arise; ensure leaders are fully briefed ahead of meetings and decisions.

- Cross-Functional Coordination: Liaise with internal and external stakeholders, managing sensitive communications and ensuring follow-through on commitments.

- Meeting Management: Prepare materials, note key actions and decisions, and ensure timely follow-up and execution of deliverables.

- Administrative Precision: Manage expenses, reconcile budgets, coordinate events, and support large onsite meetings and team gatherings.

**What You Bring**

- 4+ years of experience supporting senior executives, ideally in a dynamic, high-growth corporate environment, and global environment (working across time zones).

- Bachelor’s degree in a related field.

- Exceptional organizational and prioritization skills with the ability to manage multiple tasks simultaneously.

- A proactive, solutions-oriented mindset—able to operate independently and take initiative with minimal direction.

- High degree of professionalism, confidentiality, and judgment when managing sensitive information.

- Solid collaboration and interpersonal skills, with the ability to influence and partner effectively across teams.

- Excellent written and verbal communication skills.

- Proficiency in G Suite (Google Workspace) and modern collaboration tools (Slack, Zoom, Concur, etc.).

**What Makes You Stand Out**

- Ability to react with appropriate levels of urgency in situations that require prompt responses or turnaround.

- Adaptability with the ability to express and communicate with a variety of people.

- Skilled at building structure in ambiguity and improving workflows across teams.

- A solid sense of curiosity, willingness to learn, and excitement about Planet’s mission.

**Application Deadline**

July 21st, 2026 at 11:59pm PT

**Compensation**

The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

**San Francisco Salary Range**

$101,400 - $126,800 USD

**EAR/ITAR Requirements**

~~This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.~~

**Benefits While Working At Planet**

~~These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.~~

- Comprehensive Medical, Dental, and Vision plans

- Health Savings Account (HSA) with a company contribution

- Generous Paid Time Off in addition to holidays and company-wide days off

- 16 Weeks of Paid Parental Leave

- Wellness Program and Employee Assistance Program (EAP)

- Home Office Reimbursement

- Monthly Phone and Internet Reimbursement

- Tuition Reimbursement and access to LinkedIn Learning

- Equity

- Commuter Benefits (if local to an office)

- Volunteering Paid Time Off

San Francisco Salary Range

$101,400—$126,800 USD

**San Francisco Fair Chance Ordinance**

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

**Why We Care So Much About Belonging.**

We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.

**EEO Statement**

Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights.

**Accommodations**

Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.

**Privacy Policy **: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

**Privacy Policy (European Applicants): ** By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

**AI in Our Interviewing Process **: Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy.

**Candidate AI Policy **: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to ~~prepare ~~ for interviews and assessments. However, ~~during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions ~~. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.

Executive Operations Partner

Le groupe SOCOTEC propose à ses clients et partenaires des missions tout au long du cycle de vie du bâti afin d’en assurer la conformité, prolonger leur durée de vie, améliorer leur performance technique, énergétique et environnementale, et garantir ainsi la sécurité des personnes. Tiers de confiance indépendant, SOCOTEC s’appuie sur 5000 techniciens et ingénieurs partout en France, reconnus parmi les meilleurs dans la gestion des risques et le conseil technique. Rejoindre SOCOTEC, c’est faire partie d’une communauté de 11300 experts basés dans 26 pays, tous prêts à relever les challenges dans le domaine du Testing, de l’Inspection et de la Certification (TIC) dans la construction, les infrastructures et l'industrie. Nous rejoindre, c’est donner du sens à son parcours professionnel et contribuer aux ambitions d’un groupe international en fort développement, qui a toujours su placer les hommes et les femmes au cœur de son fonctionnement. Notre projet est ambitieux, notre énergie collective est notre force !

Ensemble, nous bâtissons la confiance pour un monde plus sûr et plus durable.

Venez vivre une expérience unique à nos côtés et contribuez à faire grandir SOCOTEC, leader de l’intégrité des actifs dans la construction, les infrastructures et l’industrie !

Rejoignez-nous et vivez l'expérience SOCOTEC !

Industry: Services de conseil en environnement
Company Size: + de 10 000 employés

SOCOTEC

**Description Du Poste ****Company Description**

SOCOTEC company is a provider of niche consulting services within the architecture, engineering and construction industries focusing on high-performance buildings and specialty structures. Through an integrated, holistic approach, our professionals provide solutions for building envelope, energy efficiency, sustainability, code advisory and construction advisory projects

SOCOTEC’s combination of expertise, experience and methods are increasingly recognized as best-in-class fueling significant growth.

SOCOTEC is proud to announce that it has been officially certified as a Great Place to Work by the renowned global authority on workplace culture, Great Place to Work®.

**Job Description**

We're hiring a Software Engineer to join our US engineering team and contribute meaningfully across our AI platform and product portfolio. This is a full-stack role with significant exposure to applied AI, data infrastructure, and enterprise automation. You'll write production code, own components end-to-end, and have a direct line of sight from your work to its business impact.

This role is a great fit for an engineer with a few years of full-stack experience who wants to grow into AI platform work and take on real ownership. You'll be one of a handful of engineers shipping software used across SOCOTEC's global business units.

**Responsibilities**

- Design and build features end-to-end across modern React frontends and Python (Django / FastAPI) backends

- Own components and small services — from spec through deployment and operation

- Contribute to AI-powered features: prompt engineering, agent workflows, RAG pipelines, and LLM integrations

- Participate in architecture and design discussions; influence technical direction as you grow into the role

- Write clean, tested, maintainable code and participate in code reviews

- Collaborate closely with engineering lead, DevOps, and business stakeholders to translate requirements into shipped software

- Help maintain and improve developer practices: CI/CD, testing, documentation, and operational excellence

**Qualifications**

Required

- 3+ years of professional full-stack software engineering experience

- Strong proficiency with React (or comparable modern frontend framework) and Python (Django, FastAPI, or similar)

- Solid understanding of REST APIs, relational databases, and modern web application architecture

- Familiarity with containerized deployments (Docker)

- Experience with cloud infrastructure (AWS/Azure) and CI/CD workflows (GitHub Actions or equivalent)

- Excellent written and verbal communication; comfortable working across time zones and with non-technical stakeholders

- Curiosity about AI/ML and a genuine interest in building AI-powered products

**Strongly Preferred**

- Experience integrating with LLM APIs (OpenAI, Anthropic, or similar) in production

- Familiarity with one or more of: agent orchestration frameworks (LangGraph, LangChain), vector databases (Pinecone, Weaviate), or RAG architectures

- Experience with modern data infrastructure (Databricks, Snowflake, Airbyte, or similar)

- Experience with workflow automation platforms (n8n, Zapier, Temporal, or similar)

Nice to Have

- Experience working on small engineering teams where individual ownership is high

- Exposure to enterprise SaaS or compliance-sensitive industries

- Background in AEC, construction tech, or industrial software.

**Additional Information**

For more information, please visit www.socotec.us

Job Type: Full-Time

Salary: $100k - $130k

All your information will be kept confidential according to EEO guidelines.

SOCOTEC is an Equal Opportunity Employer.

Software Engineer

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Industry: IT Services and IT Consulting
Company Size: 10,001+ employees

Mastercard

**Our Purpose**

~~Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.~~

**Title And Summary**

Consultant, Advisors & Consulting Services, Strategy & Transformation

Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard’s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants.

The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Strategy & Transformation consultants lead clients through impactful decision-making as they tackle strategic, tactical, operational, and transformational business challenges. They apply a broad set of problem-solving techniques to improve the client’s overall strategy, performance, and operations.

Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard

Roles and Responsibilities

Client Impact

-  Provide creative input on projects across a range of industries and problem statements

-  Contribute to the development of strategies and programs for regional and global clients by leveraging data and technology solutions to unlock client value

-  Collaborate with Mastercard team to understand clients’ needs, agenda, and risks

-  Develop working relationship with client analysts/managers, and act as trusted and reliable partner

Team Collaboration & Culture

-  Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients

-  Independently identify issues in defined area of analysis, and structure and synthesize own analysis to highlight relevant findings

-  Lead internal and client meetings, and contribute to project management

-  Contribute to the firm's intellectual capital

-  Receive mentorship from consulting leaders for professional growth and development

**Qualifications**

Basic qualifications

-  Undergraduate degree with work experience in consulting, corporate strategy, business intelligence, business line management, or product management

-  Relevant client or internal stakeholder management experience

-  Logical, structured thinking, and affinity for numerical analysis

-  Advanced Word, Excel, and PowerPoint skills

-  Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment

-  Ability to communicate effectively in English and the local office language (if applicable)

-  Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs

-  Ability to travel to client sites on a semi-regular basis

**Preferred Qualifications**

-  Ability to identify problems, brainstorm and analyze answers, and implement the best solutions

-  Experience managing tasks or workstreams in a collaborative team environment with third parties

-  Relevant industry expertise

Base Salary Range; 97,000.00 - 139,000.00 USD Annual

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

**Corporate Security Responsibility**

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

- Abide by Mastercard’s security policies and practices;

- Ensure the confidentiality and integrity of the information being accessed;

- Report any suspected information security violation or breach, and

- Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

Consultant, Advisors & Consulting Services, Strategy & Transformation

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit.

To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership.

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Industry: Research Services
Company Size: 201-500 employees

OpenAI

**About The Role**

As a People Data Scientist, you will bring deep expertise in research science, measurement, and experimentation to OpenAI’s most important People programs. You will design studies, evaluate people processes, build research frameworks, and help leaders understand how we can better empower employees, strengthen organizational systems, and deliver exceptional employee experiences.

We’re looking for an experienced data scientist who can translate ambiguous People questions into rigorous research designs, validated insights, and actionable recommendations.

This role will be based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

**In This Role You Will**

- Design rigorous research and evaluation strategies for organizational health, manager effectiveness, employee experience, and talent outcomes.

- Conduct fairness, adverse impact, validity, reliability, calibration, and measurement-invariance analyses for high-stakes People processes and AI-assisted workflows.

- Apply advanced statistical modeling, machine learning, and research methods to inform program design, evaluate effectiveness, and quantify business impact.

- Partner with People Operations, data engineering, and people systems teams to define data requirements, improve data quality, establish documentation standards, and ensure research datasets are governed, reproducible, and privacy-preserving.

- Build scalable people science infrastructure, including self-service agentic tools, automated validation workflows, reusable research datasets and analytical pipelines.

- Develop research playbooks that establish rigorous standards for study design, measurement, validation, and documentation, enabling high-quality, repeatable, and scalable research across the organization.

- Communicate findings through concise, executive-ready narratives.

**You Might Thrive In This Role If You**

- Deep curiosity, strong attention to detail, and passion for solving ambiguous and complex problems with creativity.

- Exceptional strength in research design, experimentation, measurement, causal inference, and statistical modeling, including hands-on experience with psychometrics, survey methodology, structural equation modeling, multilevel modeling, randomized controlled experiments, A/B testing, quasi-experimental design, validation studies, and machine learning evaluation.

- High proficiency in R or Python and SQL, with experience working across complex, messy datasets.

- Experience building measurement systems, research programs, data products, reusable analytics frameworks, self-service tools, and governed analytical workflows.

- Ability to communicate complex methods and tradeoffs clearly to senior leaders, technical partners, and non-technical audiences.

**Preferred Qualifications**

- Experience evaluating AI-assisted workflows, algorithmic systems, and human-AI decision processes in operational contexts, including familiarity with model evaluation methods.

- Advanced degree in Industrial-Organizational Psychology, Organizational Behavior, Quantitative Psychology, Behavioral Economics, Statistics, Economics, Data Science, or a related field; PhD preferred.

**About OpenAI**

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation Range: $198K - $220K

People Data Scientist

RetechPrime is a next-generation, AI-driven consulting and engineering company enabling enterprises to transform with intelligence, scalability, and measurable business outcomes. With deep expertise across Consulting & Assessment, Enterprise Products, Platform Engineering, Cloud Engineering, and Data, AI & Agentic AI, we help organizations modernize their digital ecosystems and accelerate innovation.

At RetechPrime, we operate with an AI-first engineering philosophy, ensuring every solution is designed to be intelligent, secure, and future-ready. We bring strong domain capabilities in Retail, Supply Chain, CPG, Manufacturing, and  partner closely with enterprises to solve their most complex technology challenges—from legacy modernization and cloud adoption to AI-driven automation and omnichannel transformation.

Our Consulting practice helps clients define transformation roadmaps through digital maturity assessments, process re-engineering, cloud readiness evaluations, and AI adoption strategies. We ensure every recommendation is aligned to business impact—speed, cost efficiency, and operational excellence.

Industry: IT Services and IT Consulting
Company Size: 11-50 employees

ReTechPrime Technology Solutions

**Company Description **

ReTechPrime Technology Solutions is an AI-driven consulting and engineering firm empowering enterprises to achieve intelligent, scalable, and measurable business transformation. With expertise spanning Consulting & Assessment, Platform and Cloud Engineering, Data, AI, and Agentic AI, we specialize in modernizing digital ecosystems and fostering innovation. We cater to industries like Retail, Supply Chain, CPG, and Manufacturing, solving complex challenges such as legacy modernization, cloud adoption, and AI-led automation. Operating with an AI-first engineering philosophy, we deliver secure, future-focused, and high-impact solutions that align technology strategies with business efficiency, operational excellence, and speed.

**Role Description **

This is a full-time on-site role located in United States for a Director of Business Development. The Director will identify and pursue new business opportunities, oversee business planning, and implement strategies for growth. The role involves generating and qualifying leads, managing client accounts, conducting contract negotiations, and fostering long-term client relationships. The Director will work collaboratively with internal teams to tailor innovative solutions and drive transformative outcomes for the organization and its clients.

**Qualifications **

- Proficiency in New Business Development and Business Planning to identify opportunities and drive strategic growth

- Experience in Lead Generation and building strong pipelines for potential clients and partnerships

- Expertise in Contract Negotiation and structuring agreements to support mutual success

- Strong Account Management skills to build and maintain lasting client relationships

- Exceptional communication and presentation skills

- Proven ability to work collaboratively with cross-functional teams

- Strong analytical and problem-solving capabilities

- Bachelor’s degree in Business, Marketing, or a related field; MBA is a plus

- Experience in the technology sector, particularly in AI, cloud, or digital transformation, is highly desirable

Director of Business Development

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